AI Articles and Analysis about Data collection

Data collection is the process of gathering and measuring information on targeted variables in an established systematic fashion, which then enables one to answer relevant questions and evaluate outcomes.

Adopting Generative AI in Healthcare Organizations-1-min

Adopting GenAI in Healthcare Organizations – with Prashant Natajaran of H2O.ai

As stakeholders in the life sciences and healthcare industries rush to adopt GenAI and integrate it into their projects and processes, they are walking a tightrope. GenAI will play a vital role in the future of healthcare in ways that we can hardly yet imagine; on the other hand, concerns like patient data privacy and potential inaccuracies have led many to take a cautious approach. 

Driving Responsible Approaches to AI through Operations and Development Workflows

Driving Responsible Approaches to AI Through Operations and Development Workflows – with Ranjan Sinha of IBM and Tsavo Knott of Pieces

This interview analysis is sponsored by Pieces and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

Driving Data Solutions and Governance in Procurement – v.3-1-min

Driving Data Solutions and Governance in Commodities Procurement – with Rupam Baijal of Algoma and Edmund Zagorin of Arkestro

This interview analysis is sponsored by Arkestro and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

Artificial Intelligence
at Capital One-1

Artificial Intelligence at Capital One

Capital One, founded in 1994 and headquartered in McLean, Virginia, has become a prominent player in the financial services sector, mainly known for its credit card offerings, auto loans, banking, and savings accounts. With operations primarily spanning the United States, the company boasts a workforce of approximately 52,000 employees. As a technology-focused financial institution, Capital One is dedicated to leveraging cutting-edge innovations to enhance customer experience and streamline operations.

Leveled Approaches to AI for Asset Management Challenges-1-min

Leveled Approaches to AI for Asset Management Challenges – with Aman Thind of State Street

The asset management industry is going through several challenges, like the prolonged low-interest rate environment, dwindling margins, increased cost pressures, and squeezed profitability. Meanwhile, exponential growth in data volumes has overwhelmed legacy data management systems and analytical tools, making it tiring to process and extract valuable insights from the deluge of information. 

Driving Drug Discovery Efficiencies in Life Sciences with AI-1-min

Driving Drug Discovery Efficiencies in Life Sciences with AI – with Anne Phelan of BenevolentAI

According to research from the American Society for Biochemistry and Molecular Biology, nine out of 10 drugs fail to make it to market in the clinical trials process. Researchers in the cited studies found that 40-50% of these failures are due to a lack of clinical efficacy, meaning that the drug is not able to produce its intended effect in people, and 30% were due to unmanageable toxicity or side effects.

Cultivating ‘Value Driven Data’ in Insurance-1-min

Cultivating ‘Value Driven Data’ in Insurance – with Edosa Odaro of Tawuniya

Business processes are defined in large part by the data within an organization. Value-driven data, by definition, represents higher-quality data. The importance of high-quality data cannot be overlooked. Research from MIT, even from before the pandemic AI boom, showed that insufficient data can cost as much as 25% of the revenue for most companies.

Driving AI Adoption
in Insurance-1-min

Driving AI Adoption in Insurance – with Ryann Foelker of American Family Insurance Group

As a rule, AI adoption tends to take more time for legacy industries compared to digitally-native sectors. As a profile from June 2021 in Harvard Business Review explains, insurance companies are data-rich but have long relied on actuarial approaches to data and analytics.  The insurance industry has several concerns regarding the integration of AI. Insurance companies obviously have regulatory compliance as a top priority, so any AI solution implemented needs to comply with existing regulations regarding consumer protection and data security, among others. 

Data collection

Data collection is the process of gathering and measuring information on targeted variables in an established systematic fashion, which then enables one to answer relevant questions and evaluate outcomes.